{"id":"W2294775281","doi":"10.1016/j.cor.2015.04.013","title":"Recent advances in location analysis","year":2015,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559452,0.001196086,0.001542203,0.005945701,0.0007883576,0.003762412,0.002164289,0.00145446,0.008682705],"category_scores_gemma":[0.01133929,0.00058208,0.001440797,0.009796565,0.001255638,0.0043,0.002101283,0.001764624,0.005756831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433967,"about_ca_system_score_gemma":0.001970131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006343452,"about_ca_topic_score_gemma":0.005073325,"domain_scores_codex":[0.9975225,0.0008442372,0.0001594091,0.0007045012,0.0006363642,0.0001329249],"domain_scores_gemma":[0.9908099,0.005114708,0.0005564194,0.001159159,0.002141859,0.0002178561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008335243,0.0001058201,0.007992189,0.001343983,0.0002106988,0.00009082965,0.0002606696,0.007914023,0.001250112,0.0642778,0.01769872,0.8987718],"study_design_scores_gemma":[0.00003807756,0.000182624,0.01756642,0.00157791,0.0005338773,0.001339844,0.001615396,0.1077377,0.004356634,0.22284,0.6419945,0.0002171448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01626016,0.2292071,0.686118,0.01027463,0.002529798,0.0001311063,0.001350719,0.001649286,0.0524792],"genre_scores_gemma":[0.256768,0.2598829,0.4418322,0.002875339,0.00974798,0.0002796692,0.00306027,0.0006036183,0.02495009],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008682705,"threshold_uncertainty_score":0.02904654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1416446550360399,"score_gpt":0.4727064858917152,"score_spread":0.3310618308556753,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}